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Digital Transformation with Dataverse for Teams

You're reading from   Digital Transformation with Dataverse for Teams Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781800566484
Length 298 pages
Edition 1st Edition
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Author (1):
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Srikumar Nair Srikumar Nair
Author Profile Icon Srikumar Nair
Srikumar Nair
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction to Microsoft Dataverse for Teams
2. Chapter 1: Introducing Digital Transformation and the Role of Low-Code/No-Code Platform FREE CHAPTER 3. Chapter 2: Exploring Microsoft Dataverse for Teams 4. Chapter 3: Building Your First App with Microsoft Dataverse for Teams 5. Chapter 4: Enhancing Your App with Images, Screens, and File Attachments 6. Section 2: Deep Dive into Microsoft Dataverse for Teams
7. Chapter 5: Understanding Microsoft Dataverse 8. Chapter 6: Automating with Microsoft Dataverse for Teams 9. Chapter 7: Building Power Virtual Agents Bots with Microsoft Dataverse for Teams 10. Section 3: Application and Environment Life Cycle Management
11. Chapter 8: Managing the Application Life Cycle and Environment Life Cycle 12. Chapter 9: Upgrading to Microsoft Dataverse Environment 13. Section 4: Enterprise Readiness and Licensing
14. Chapter 10: Ensuring Enterprise Readiness: Security and Governance 15. Chapter 11: Licensing for Microsoft Dataverse and Dataverse for Teams 16. Other Books You May Enjoy

Implementing a Security Framework in Dataverse for Teams

Security is the bedrock of any enterprise application, and it is perilous to assume that low-code/no-code applications can ignore this aspect of application lifecycle management (ALM). In this section, we will start with some basic principles of security and look at the various aspects of Dataverse for Teams that help us implement these principles. These basic security principles are outlined here:

  • Confidentiality—All the data inside an organization should be accessible to only the intended users.
  • Integrity—Organizational data should not be tampered with by unauthorized users.
  • Availability—Authorized users should be able to access the data at any time.

To adhere to these principles, different organizations apply various approaches based on the level of awareness and investments needed. However, the bedrock of any such approach would need to have at least these three main strategies...

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